Motion-prediction algorithms for vehicles often employ historical behavior of a vehicle, rely
on the Markov property of the underlying system, and predict the future behavior of the …

Traffic congestion wastes time, energy, and causes pollution. In this paper, We propose an
application taking advantage of vehicular communications, namely dynamic route planning …

Efficient neighbor discovery in vehicular ad hoc networks is crucial to a number of
applications such as driving safety and data transmission. The main challenge is the high …

Accurate bus arrival time prediction is a key component for improving the attractiveness of
public transport. In this research, a model of bus arrival time prediction, which aims to …

It is very difficult to establish and maintain end-to-end connections in a vehicle ad hoc
network (VANET) as a result of high vehicle speed, long inter-vehicle distance, and varying …

In dense traffic, a lane change maneuver is potentially dangerous and a driver's erroneous
estimation of inter vehicle gaps may cause an accident. This signifies the necessity of …

The accurate prediction of the vehicle mobility in Vehicular Ad-hoc Networks (VANETs) has
a significant effect in the rapid deployment of Intelligent Transport Systems (ITSs) as well as …

Vehicle-to-vehicle communication is a concept greatly studied during the past years.
Vehicles equipped with devices capable of short-range wireless connectivity can form a …

By the prediction of future location for a vehicle in Internet of Vehicles (IoV), data forwarding
schemes can be further improved. Major parameters for vehicle position prediction includes …

Finding the future position of the vehicle in VANETs is challenging task because of its
dynamic nature and infrastructure less network. Localization prediction plays a most …